Neural Ordinary Differential Equations with David Duvenaud - #364
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) - Un pódcast de Sam Charrington
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Today we’re joined by David Duvenaud, Assistant Professor at the University of Toronto, to discuss his research on Neural Ordinary Differential Equations, a type of continuous-depth neural network. In our conversation, we talk through a few of David’s papers on the subject. We discuss the problem that David is trying to solve with this research, the potential that ODEs have to replace “the backbone” of the neural networks that are used to train today, and David’s approach to engineering.
